| 仿真实验与SVM相结合的数据分类方法研究 |
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| 引用本文： | 祝曙光,胡晓峰,司光亚,杨镜宇,张明智,罗批,郭永辉.仿真实验与SVM相结合的数据分类方法研究[J].系统仿真学报,2010,22(3). |
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| 作者姓名： | 祝曙光 胡晓峰 司光亚 杨镜宇 张明智 罗批 郭永辉 |
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| 作者单位： | 1. 国防大学信息作战与指挥训练教研部,北京,100091;总装备部工程设计研究总院,北京,100028
2. 国防大学信息作战与指挥训练教研部,北京,100091 |
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| 基金项目： | 国家863高技术计划(2006AA01Z337); 博士后科学基金(2005038053) |
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| 摘 要： | 首先提出了仿真实验与SVM相结合的数据分类方法;其次,利用该方法成功地进行了若干数据分类实验,证明了该方法能够高效、优质地完成体系规划与优化过程中的数据分类任务。此外,还探讨了二分类支持向量机的推导过程,研究了利用仿真实验为二分类支持向量机准备实验样本的具体方法。
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| 关 键 词： | 体系规划与优化 数据分类 支持向量机 仿真实验 |
Study on Data Classification Method Based on Simulation Experiment and SVM |
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| ZHU Shu-guang,HU Xiao-feng,SI Guang-ya,YANG Jing-yu,ZHANG Ming-zhi,LUO Pi,GUO Yong-hui.Study on Data Classification Method Based on Simulation Experiment and SVM[J].Journal of System Simulation,2010,22(3). |
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| Authors: | ZHU Shu-guang HU Xiao-feng SI Guang-ya YANG Jing-yu ZHANG Ming-zhi LUO Pi GUO Yong-hui |
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| Institution: | ZHU Shu-guang1,2,HU Xiao-feng1,SI Guang-ya1,YANG Jing-yu1,ZHANG Ming-zhi1,LUO Pi1,GUO Yong-hui1 (1. The Department of Information Operation & Comm, Training,NDU of PLA,Beijing 100091,China,2. Center for Engineering Design , Research under the Headquarters of General Equipment,Beijing 100028,China) |
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| Abstract: | Data classification method based on simulation experiment and support vector machine (SVM) was put forward. And several data classification experiments have been carried out successfully with this method, which indicates that this new method can be used to fulfill the task of data classification in System-of-Systems (SoS) programming and optimization process effectively. In addition, the derivation process of SVM for data set with two different data types was given and the SVM experiment sample preparation ... |
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| Keywords: | System-of-Systems programming and optimization data classification support vector machine simulation experiment |
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